Fork of Fork of ICE-6

100%

Fork of Fork of ICE-6

✓ Published0🌍 Public

Last edited Mar 23, 2023

Created on Mar 23, 2023

This horizontal bar chart displays the relationship between county-level COVID-19 hospitalization counts and patient BMI among insured individuals, using the first 15 records from a Walmart-related CSV dataset. The visualization is built with React and D3 v5, using `d3.csv` for data loading, `scaleBand` for the categorical y-axis, `scaleLinear` for the x-axis, and SVG `<rect>` elements for bars. Axes are manually generated with tick loops, and the chart is rendered in the browser from a bundled `bundle.js` file.

AI-generated description

A whole smiley face

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of ICE-6

This visualization displays the relationship between age and BMI for insured individuals, showing a bar chart of hospitalized COVID-confirmed patients per county. The data comes from a CSV file loaded via `d3.csv`, with the first fifteen records rendered as horizontal bars. The chart uses React for component management and D3 v5’s `scaleBand`, `scaleLinear`, and `max` functions to map county names and patient counts. The SVG output includes manually drawn axes with tick marks and labels, while the grid lines are styled in red.

Hhm0421

93% match

Loading thumbnail…

ICE-6

This example visualizes the relationship between age and BMI in insured individuals using a horizontal bar chart, displaying the top 15 counties by the number of hospitalized COVID-confirmed patients. The chart uses an SVG rendering with React for state management and D3 v5 for scales, axes, and data loading. Specifically, it employs `scaleBand` for the y-axis counties and `scaleLinear` for the x-axis patient counts, with data fetched via `d3.csv` from a GitHub raw URL. The bars are drawn as SVG `<rect>` elements, and custom tick labels replace traditional axes for clarity.

DDineshK2602

87% match

Loading thumbnail…

Fork of ice-6

A horizontal bar chart shows the number of hospitalized confirmed COVID-19 patients for the top 20 counties, fetched from a CSV file via `d3.csv`. The chart uses React state and effects to load data, then renders SVG `rect` elements scaled with `d3.scaleBand` for counties and `d3.scaleLinear` for patient counts. Orange gridlines and tick labels are drawn manually, with axes positioned using SVG transforms.

Hhm0421

86% match

Loading thumbnail…

ice-6

This example shows the number of hospitalized COVID-confirmed patients per county as a horizontal bar chart, with bars colored orange against a plain SVG backdrop and an axis showing tick values. It uses React with D3 v5, employing `scaleBand` for the county categories and `scaleLinear` for the patient counts, while `csv` loads data from a remote GitHub gist. The visualization renders as raw SVG elements, with gridlines and county labels manually drawn via `select` and standard SVG components.

Hhm0421

81% match

Loading thumbnail…

ice-6

This visualization displays the number of hospitalized confirmed COVID-19 patients for each county, using a horizontal bar chart with an orange grid. Built with React and D3 v5, it loads CSV data via `d3.csv`, filters to the top 20 counties, and renders SVG rectangles scaled by `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. Tick labels and grid lines are generated from `xScale.ticks()`. The chart updates dynamically when the data loads, showing the title in magenta above the plot.

DDineshK2602

81% match

Loading thumbnail…

Fork of Fork of ICE5 - chaturya d3.js parsing

This example shows a BMI bar chart with two side-by-side graphs: one displaying BMI values per person, and another comparing Height and Weight as grouped bars. The visualization uses React for component structure and D3 v5 for data parsing via `d3.csv` and scales (`scaleBand`, `scaleLinear`). A CSV from GitHub Gist provides the dataset, which is loaded asynchronously and rendered as SVG with rounded rects, rotated axis labels, and custom axis text.

Rrobertotienonyaranga@gmail.com

80% match

Loading thumbnail…

Fork of Fork of ICE5 - chaturya d3.js parsing

This example shows a dual-panel bar chart comparing BMI values against height and weight measurements for individuals in a BMI dataset. The left panel displays BMI as a single green bar per person, while the right panel splits each category into orange (height) and blue (weight) bars using a grouped bar layout. The visualization uses React with hooks to manage data loading via `d3.csv`, and D3 scales (`scaleBand`, `scaleLinear`) and axes (`axisBottom`, `axisLeft`) to render the SVG marks. Data is parsed from a remote CSV file, with margins and rounded bar corners adding polish to the chart.

80% match

Loading thumbnail…

ICE-6

This horizontal bar chart visualizes the relationship between age and BMI for insured individuals, displaying the first 15 records from a CSV dataset. Built with React and D3 v5, it uses `d3.csv` to load data, `d3.scaleBand` for the age categories on the y-axis, and `d3.scaleLinear` for the BMI values on the x-axis. The chart renders as an SVG, with red gridlines and text labels generated via D3’s axis utilities.

Vvagdevi-369

80% match